Urinary Metabolites Variation After High-Intensity Rowing Training and Potential Biomarker Screening for Exercise-Induced Muscle Damage

Exercise-induced muscle damage (EIMD) is the most common health risk in physical exercise. However, instant and non-invasive methods for EIMD prediction have not been reported. Urine is a promising tool for EIMD prediction. However, urinary metabolite variations after EIMD occurrence have not been revealed, and potential biomarkers have not been identified. In this study, eighteen young students without regular exercise habits were recruited to perform high-intensity rowing exercise. EIMD occurrence was determined using blood biochemical analyses and pain assessment. The changes in urinary metabolites were revealed by quasi-targeted metabolomics. Results demonstrated that high-intensity rowing exercise induced EIMD and obviously changed urinary metabolites, including 23 upregulated metabolites and 26 downregulated metabolites. These differential metabolites were related to energy metabolism, exercise performance, and antioxidant metabolism. Among these metabolites, potential urinary biomarkers were identified with high sensitivity and specificity.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-08-15
DOI
https://doi.org/10.3390/ijms26167897
Primary Topic
Muscle metabolism and nutrition
Type
article
Field-Weighted Citation Impact
0.00

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article

Urinary Metabolites Variation After High-Intensity Rowing Training and Potential Biomarker Screening for Exercise-Induced Muscle Damage

Yue Yi, Yuxian Li, Jie Wu, Junjie Ding et al.
International Journal of Molecular Sciences
Muscle metabolism and nutrition
article

Urinary Metabolites Variation After High-Intensity Rowing Training and Potential Biomarker Screening for Exercise-Induced Muscle Damage

Yue Yi, Yuxian Li, Jie Wu, Junjie Ding, Liming Wang, Baoguo Wang, Ziyue Zhao, Changyong Zhang, Shumin Bo, Cheng Yang, Aiqin Luo
article en

Abstract

Exercise-induced muscle damage (EIMD) is the most common health risk in physical exercise. However, instant and non-invasive methods for EIMD prediction have not been reported. Urine is a promising tool for EIMD prediction. However, urinary metabolite variations after EIMD occurrence have not been revealed, and potential biomarkers have not been identified. In this study, eighteen young students without regular exercise habits were recruited to perform high-intensity rowing exercise. EIMD occurrence was determined using blood biochemical analyses and pain assessment. The changes in urinary metabolites were revealed by quasi-targeted metabolomics. Results demonstrated that high-intensity rowing exercise induced EIMD and obviously changed urinary metabolites, including 23 upregulated metabolites and 26 downregulated metabolites. These differential metabolites were related to energy metabolism, exercise performance, and antioxidant metabolism. Among these metabolites, potential urinary biomarkers were identified with high sensitivity and specificity.

International Journal of Molecular SciencesVol. 26(16)
Beijing Institute of Technology (CN), University of Science and Technology of China (CN), Capital University of Physical Education and Sports (CN), Zhuhai Institute of Advanced Technology (CN), Ministry of Industry and Information Technology (CN)
Beijing Institute of Technology, Beijing Institute of Technology Research Fund Program for Young Scholars, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 77%
Muscle metabolism and nutrition
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